In the preceding example, you assumed that the population standard deviations were equal. If you believe that the population standard deviations are not equal, use the same two-sample t test analysis as with the preceding example, but change the test option and enter group standard deviations.

You can use the previous example to demonstrate this test. If the project is not already open, open it by selecting FileOpen on the menu bar, and then selecting the project that you have been using.

Make a copy of the project by selecting FileSave As. Enter a different project description, Experimental blood pressure drug with two groups for unequal variances. Click OK.

The copy of the project is opened, and the current project is closed.

Editing Properties

Test

On the Test tab of the copied project, change the test to Satterthwaite t test, as shown in Figure 69.46.

Figure 69.46 Satterthwaite t Test Option

Specifying Group Standard Deviations

Click the Standard Deviation tab and enter the group standard deviations of 12 and 15 on a single row, as shown in Figure 69.47.

Figure 69.47 Group Standard Deviations

Summary of Input Parameters

Table 69.3 contains the values of the input parameters for the example.

Table 69.3 Summary of Input Parameters

Parameter	Value
Distribution	Normal
Hypothesis	One-sided test
Test	Satterthwaite t test
Alpha	0.05
Means form	Group means
Means	132, 120
Standard deviation	12, 15
Sample size form	Sample size per group
Sample size	20, 25, 30

Click Calculate to run the analysis.

Viewing Results

The power for a sample size per group of 25 is 0.924, as shown in Figure 69.48. Notice that the actual alpha is 0.0499. This is because the Satterthwaite t test is (slightly) biased.

Figure 69.48 Satterthwaite Test Results

If you modified the previous example, when you select the Narratives tab, the following message is displayed:

Previously selected narratives have been cleared because one or more input parameter values have changed.

In the previous analysis, you created narratives for two scenarios. Because this analysis uses group standard deviations, those selected narratives were cleared. The message would also have appeared if you had changed the number of scenarios.

Use the narrative selector table to create other narratives.